Dedrone Aerial Drone Detection

Equipment Overview

[Prior to 2020]

Modern security requires a layered approach that keeps up with the evolution of drone technology. Sensors connect to our DroneTracker software, which detects, classifies, and protects against drone threats, including localizing the drone and its pilot. Passive and active countermeasures can be triggered, tailoring the defense mechanism to the severity of the threat.

Dedrone’s RF Sensor is the foundation that enables robust security to protect against drones. It alerts to potential threats even before they take off the ground, and measurement-grade RF technology pinpoints the locations of drone and pilot. The Connect802 team, which includes a licensed FAA commercial pilot and flight instructor, stands ready to help you protect your airspace. We're a nationwide drone detection system reseller and consultant engineering resource for your airspace.

DroneTracker software connects sensors, performs machine-learning analysis, and is the central nervous system for the complete solution. Dedrone’s RF Sensors are purpose-built for airspace security and collect hard data on drone activity in the airspace. They detect all kinds of drones and have a coverage range over over 1 mile in ideal conditions. The RF localization technology enables users to find the location of the pilot and drone, making termination of the threat much more practical.

Additional sensors and countermeasures, such as video or jammers, add extra layers of security and integrate directly into DroneTracker software. DroneTracker aggregates sensor information about potential threats, recognizing and classifying drones of all kinds. Its web-based interface shows live threats, real-time drone flight paths, and records forensic details including video evidence.

Dedrone’s advanced, machine-learning algorithms are built-in to DroneTracker software, enabling the system to reliably detect the difference between drones and other moving objects in the airspace. Based on an image recognition and classification library, the underlying analytics are trained on millions of data points and are continually updated via the cloud. DroneTracker accepts video from off-the-shelf surveillance cameras, turning them into full-time airspace monitoring sensors.

DroneDNA is a machine learning system and classification engine that recognizes drones of all kinds. Trained on millions of images and data points, it can distinguish between different drone models, and detect the difference between drones and other moving objects such as birds, planes, or other objects. DroneDNA signatures are continually updated via the cloud, enabling the Dedrone system to be always up-to-date to protect against the latest threats.

The RF Sensor is the foundation of the detection solution, providing early warning of malicious activities. Additional video sensors aid detection, show real-time views, and archive video evidence. More external sensors can be integrated via the API. By combining several sensors, large spaces and sites in urban areas with complex layouts can be monitored and secured effectively. Data from all sensors are combined and processed centrally.

DroneTracker integrates with your existing security system. Surveillance cameras or 3rd-party counter-measures such as automatic blinds and fog bombs which are easily connected via the API.

Alarms are triggered as soon as the approach of a drone is detected. Alerts can be sent through SMS directly to site security officers, the software user interface, e-mail, network (TCP/IP), SNMP, or smartphone push notification. Automated summary reporting delivers the most critical information up-front. Find how many drones are intruding into your airspace, and details such as drone model, intrusion time, and frequency of recurrence..

Sites that need to detect and respond to aerial drone activity need accurate, timely, and effective protection and alerting. Some examples include: